replace_values_in_dt

A collection of functions for analyzing data typically collected
or used by behavioral scientists. Examples of the functions include
a function that compares groups in a factorial experimental design,
a function that conducts (robust) two-way analysis of variance (ANOVA),
and a function that cleans a data set generated by Qualtrics surveys.
Some of the functions will require installing additional package(s).
Such packages and other references are cited within the section
describing the relevant functions. Many functions in this package
rely heavily on these two popular R packages:
Dowle et al. (2021) <https://CRAN.R-project.org/package=data.table>.
Wickham et al. (2021) <https://CRAN.R-project.org/package=ggplot2>.

Jin Kim

Behavioral Scientists' Analysis Toolkit

replace_values_in_dt function

<dl><dt>data</dt>
<dd>a data object (a data frame or a data.table)</dd>
<dt>old_values</dt>
<dd>a vector of old values that need to be replaced</dd>
<dt>new_values</dt>
<dd>a new value or a vector of new values that will
replace the old values</dd>
<dt>silent</dt>
<dd>If <code>silent = FALSE</code>, a message will be printed regarding
how many values were replaced. If <code>silent = TRUE</code>, no message
will be printed regarding how many values were replaced. (default = FALSE)</dd></dl>

Arguments

Replace values in a data table — replace_values_in_dt

<dl>

<dt>data</dt>
<dd>a data object (a data frame or a data.table)</dd>


<dt>old_values</dt>
<dd>a vector of old values that need to be replaced</dd>


<dt>new_values</dt>
<dd>a new value or a vector of new values that will
replace the old values</dd>


<dt>silent</dt>
<dd>If <code>silent = FALSE</code>, a message will be printed regarding
how many values were replaced. If <code>silent = TRUE</code>, no message
will be printed regarding how many values were replaced. (default = FALSE)</dd>

</dl>

replace_values_in_dt: Replace values in a data table

Description

Usage

Arguments

Examples